An empirical study has been developed for the Greek Aegean island area. Data were collected from 900 HHs in Greece contacted via telephone. The HHs were presented hypothetical scenarios involving policy variables, where 2010 was the reference year. ICLV binary logit (BL) and mixed binary logit (MBL) relocation choice models were estimated sequentially. Findings suggest that MBL models are superior to BL models, while both the policy and the latent variables significantly affect the relocation decision and improve considerably the models' goodness of fit. Sample enumeration method is finally used to aggregate the results over the Greek population.
Kitrinou, E., Polydoropoulou, A. and Bolduc, D. (2010), "Development of Integrated Choice and Latent Variable (ICLV) Models for the Residential Relocation Decision in Island Areas", Hess, S. and Daly, A. (Ed.) Choice Modelling: The State-of-the-art and The State-of-practice, Emerald Group Publishing Limited, pp. 593-618. https://doi.org/10.1108/9781849507738-027Download as .RIS
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